High-linearity all-2D heterojunction-based neuromorphic image-sensing transistor array with a sandwiched tunneling layer for dynamic vision
Yiming Yuan, Yinxing Zhang, Jie Wang, Tianci Wang, Ruotao Yu, Zhipeng Xu, Jialiang Xu, Wentao Xu
Nankai University City University of Hong Kong, Shenzhen Research Institute
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= 0.025), and remarkably low energy consumption (~41.8 aJ per synaptic event) among 2D heterojunction synaptic transistors. Furthermore, a hardware-level neuromorphic kernel constructed using a synaptic array of these heterostructure devices realizes spatiotemporal neuromorphic in-sensor dynamic image processing and trajectory detection for object movement. This work provides hardware architecture for the next-generation neuromorphic vision.
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Ferroelectric and Negative Capacitance Devices · Neural Networks and Reservoir Computing
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